Determination of Optimum Test Parameter Level Ranges for Machining Processes
Received: 27 March 2024 | Revised: 9 April 2024 | Accepted: 10 April 2024 | Online: 30 April 2024
Corresponding author: M. Huseyin Cetin
Abstract
In this study, the ideal experimental design planning for the machining process was investigated. Two experimental designs were created by differentiating the parameter levels considered in the drilling process of stainless-steel. Close and far-level designs were obtained by creating 20% and 40% differences between the parameter levels. In the experimental system prepared according to the Taguchi method, surface roughness and cutting forces were measured as the output parameters. The results were analyzed statistically by optimization, analysis of variance and correlation analysis, and visually by chip morphology examination. According to the findings, it was determined that a 20% difference between the parameter levels was more appropriate in terms of experimental system stability, statistical data significance, and chip morphology.
Keywords:
drilling, parameter level range, statistical analysis, surface roughness, cutting forceDownloads
References
S. Jebarose Juliyana and J. Udaya Prakash, "Drilling parameter optimization of metal matrix composites (LM5/ZrO2) using Taguchi Technique," Materials Today: Proceedings, vol. 33, pp. 3046–3050, 2020.
A. K. Sahoo, S. Jeet, D. K. Bagal, A. Barua, A. K. Pattanaik, and N. Behera, "Parametric optimization of CNC-drilling of Inconel 718 with cryogenically treated drill-bit using Taguchi-Whale optimization algorithm," Materials Today: Proceedings, vol. 50, pp. 1591–1598, 2021.
N. S. Patel, P. L. Parihar, and J. S. Makwana, "Parametric optimization to improve the machining process by using Taguchi method: A review," Materials Today: Proceedings, vol. 47, pp. 2709–2714, 2021.
A. J. Haleel, "Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method," Al-Khwarizmi Engineering Journal, vol. 14, no. 2, pp. 14–21, 2019.
S. Pervaiz, S. Kannan, and A. Subramaniam, "Optimization of cutting process parameters in inclined drilling of inconel 718 using finite element method and taguchi analysis," Materials, vol. 13, no. 18, pp. 1–19, 2020.
A. S. Sumesh and M. E. Shibu, "Optimization Of Drilling Parameters For Minimum Surface Roughness Using Taguchi Method," IOSR Journal of Mechanical and Civil Engineering, vol. 2016, pp. 12–20, 2016.
J. Z. Zhang and J. C. Chen, "Surface roughness optimization in a drilling operation using the taguchi design method," Materials and Manufacturing Processes, vol. 24, no. 4, pp. 459–467, 2009.
A. Navanth and T. Karthikeya Sharma, "A Study of Taguchi Method Based Optimization of Drilling Parameter in Dry Drilling of Al 2014 Alloy At Low Speeds," International Journal of Engineering Sciences & Emerging Technologies, vol. 6, no. 1, pp. 65–75, 2014.
N. Tosun, "Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis," International Journal of Advanced Manufacturing Technology, vol. 28, pp. 450–455, 2006.
M. Balaji, K. Venkata Rao, N. Mohan Rao, and B. S. N. Murthy, "Optimization of drilling parameters for drilling of TI-6Al-4V based on surface roughness, flank wear and drill vibration," Measurement: Journal of the International Measurement Confederation, vol. 114, pp. 332–339, 2018.
E. Kilickap, M. Huseyinoglu, and A. Yardimeden, "Optimization of drilling parameters on surface roughness in drilling of AISI 1045 using response surface methodology and genetic algorithm," International Journal of Advanced Manufacturing Technology, vol. 52, pp. 79–88, 2011.
T. Kivak, G. Samtaş, and A. Çiçek, "Taguchi method based optimisation of drilling parameters in drilling of AISI 316 steel with PVD monolayer and multilayer coated HSS drills," Measurement: Journal of the International Measurement Confederation, vol. 45, no. 6, pp. 1547–1557, 2012.
N. L. Khanh and N. Van Cuong, "Parameter Selection to Ensure Multi-Criteria Optimization of the Taguchi Method Combined with the Data Envelopment Analysis-based Ranking Method when Milling SCM440 Steel," Engineering, Technology and Applied Science Research, vol. 11, no. 5, pp. 7551–7557, 2021.
Y.-S. Lai, W.-Z. Lin, Y.-C. Lin, and J.-P. Hung, "Development of Surface Roughness Prediction and Monitoring System in Milling Process," Engineering, Technology & Applied Science Research, vol. 14, no. 1, pp. 12797–12805, 2024.
R. Çakiroǧlu and A. Acir, "Optimization of cutting parameters on drill bit temperature in drilling by Taguchi method," Measurement: Journal of the International Measurement Confederation, vol. 46, no. 9, pp. 3525–3531, 2013.
K. Shunmugesh and K. Panneerselvam, "Optimization of machining process parameters in drilling of CFRP using multi-objective Taguchi technique, TOPSIS and RSA techniques," Polymers and Polymer Composites, vol. 25, no. 3, pp. 185–192, 2017.
A. Cicek, T. Kıvak, and E. Ekici, "Optimization of drilling parameters using Taguchi technique and response surface methodology (RSM) in drilling of AISI 304 steel with cryogenically treated HSS drills," Journal of Intelligent Manufacturing, vol. 26, no. 2, pp. 295–305, 2015.
H. M. Ali, A. Iqbal, and L. Liang, "A comparative study on the use of drilling and milling processes in hole making of GFRP composite," Sadhana - Academy Proceedings in Engineering Sciences, vol. 38, no. 4, pp. 743–760, 2013.
S. Garg and R. K. Goyal, "A Study of Surface Roughness in Drilling of AISI H11 Die Steel using Face Centered Design," IJIRST –International Journal for Innovative Research in Science & Technology, vol. 1, no. 12, pp. 464–474, 2015.
B. T. Danh and N. Van Cuong, "Surface Roughness Modeling of Hard Turning 080A67 Steel," Engineering, Technology and Applied Science Research, vol. 13, no. 3, pp. 10659–10663, 2023.
A. Z. Sultan, S. Sharif, and D. Kurniawan, "Chip Formation When Drilling AISI 316L Stainless Steel using Carbide Twist Drill," Procedia Manufacturing, vol. 2, pp. 224–229, 2015.
S. Wu, S. Tian, P. L. Menezes, and G. Xiong, "Carbon solid lubricants: role of different dimensions," International Journal of Advanced Manufacturing Technology, vol. 107, pp. 3875–3895, 2020.
M. H. Cetin, A. Kesen, S. Korkmaz, and S. K. Kilincarslan, "Performance evaluation of the nano-silver added vegetable-oil-based cutting fluid in drilling process," Surface Topography: Metrology and Properties, vol. 8, no. 2, 2020, Art. no. 25029.
Downloads
How to Cite
License
Copyright (c) 2024 Mohamed Almokhtar K. Alabayed, Safa Aisa Sasi Alghatous, Cevat Ozarpa, Seyma Korkmaz, M. Huseyin Cetin, Ibrahim Salem A. Basher
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
